Abstract
In Chapter 13 we presented a method (the P-learning algorithm) for adaptive learning of successful designs that is based on the use of statistical experimental design and stochastic search algorithm. This chapter involves a real industrial problem of designing a flexible manufacturing system that was solved based on the P-learning algorithm.
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References
Pegden, C. D., Shannon, R. E., and Sadowski, R. P., Introduction to Simulation Using SIMAN, McGraw-Hill, 1990.
Ross, P. J., Taguchi Techniques for Quality Engineering, McGraw-Hill, 1988.
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© 1998 Springer Science+Business Media Dordrecht
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Braha, D., Maimon, O. (1998). Adaptive Learning for Successful Flexible Manufacturing Cell Design: A Case Study. In: A Mathematical Theory of Design: Foundations, Algorithms and Applications. Applied Optimization, vol 17. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2872-9_18
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DOI: https://doi.org/10.1007/978-1-4757-2872-9_18
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4798-7
Online ISBN: 978-1-4757-2872-9
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